DataScribe (Computer Program)
Title: DataScribe
Author: Ken Albers
Author: Megan Brett
Author: Lincoln Mullen
Author: Kim Nguyen
Author: Jessica Otis
Author: Jim Safley
Abstract: Scholars often collect sources, such as government forms or institutional records, intending to transcribe them into datasets which can be analyzed or visualized. This module enables scholars to identify the structure of the data within their sources, speed up the transcription of their sources, and reliably structure their transcriptions in a form amenable to computational analysis. Scholars can turn sources into tables of data stored as numbers, dates, categories, and more. Because this module builds on the Omeka S platform, it allows scholars to display transcriptions alongside the source images and metadata and to publish their results on the web.
Year: 2022
Primary URL: http://datascribe.tech
Secondary URL: http://omeka.org
Access Model: open source
Source Available?: Yes

Documentation (Web Resource)
Title: Documentation
Author: Jessica Otis
Author: Lincoln Mullen
Author: Greta Swain
Author: Megan Brett
Author: Daniel Howlett
Author: Emily Meyers
Author: Hernán Adasme
Abstract: Case studies, tutorials, and other documentation about the project
Year: 2022
Primary URL: http://datascribe.tech

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